Evidence map›Paper›PMID 29686595›Full record

ArticleJournal of Korean medical science2018

Association of Adiponectin 45T/G Polymorphism with Diabetic Cardiovascular Complications in Korean Type 2 Diabetes.

Myeong Jin Ji, Eu Jeong Ku, Tae Keun Oh, Hyun Jeong Jeon

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Myeong Jin JiDepartment of Internal Medicine, SynWoo Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-1380-5540
Eu Jeong KuDepartment of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID https://orcid.org/0000-0001-5533-4989
Tae Keun OhDepartment of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID https://orcid.org/0000-0002-2998-9671
Hyun Jeong JeonDepartment of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea.ORCID https://orcid.org/0000-0003-2841-0688
Chungbuk National University · KRCHA University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdiponectin is an adipokine that regulates lipid and glucose metabolism and has been shown to have anti-inflammatory and anti-atherogenic effects. It also plays an important role in the development of cardiovascular disease (CVD).

methodsThis study evaluated the association between adiponectin 45T/G polymorphism and cardiovascular complication in type 2 diabetes in Koreans.

resultsThe present study included 758 patients with type 2 diabetes. The distribution of the adiponectin 45T/G polymorphism was 3.56% (n = 27) for GG, 42.35% (n = 321) for TG, and 54.09% (n = 410) for TT in patients with type 2 diabetes. The prevalence of CVD was significantly higher in subjects with the GG + TG genotype compared to those with the TT genotype (17.5% vs. 9.8%,

conclusionOur findings suggest that the adiponectin 45T/G polymorphism is associated with diabetic cardiovascular complication in type 2 diabetes.

Indexed as

Polymorphism, GeneticAdiponectinAdultAgedAllelesCardiovascular DiseasesCase-Control StudiesDiabetes Mellitus, Type 2FemaleGenotypeHumansMaleMiddle AgedPolymorphism, Restriction Fragment LengthRepublic of KoreaAdiponectinADIPOQ protein, humanAdiponectinCardiovascular ComplicationPolymorphismType 2 Diabetes

Identifiers

PMID29686595
PMCPMC5909101
OpenAlexW2797958956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.